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利用理赔数据库估算全国结直肠癌发病率。

Estimation of national colorectal-cancer incidence using claims databases.

作者信息

Quantin C, Benzenine E, Hägi M, Auverlot B, Abrahamowicz M, Cottenet J, Fournier E, Binquet C, Compain D, Monnet E, Bouvier A M, Danzon A

机构信息

Service de Biostatistique et d'Informatique Médicale (DIM), Centre Hospitalier Universitaire, BP 77908, 21079 Dijon Cedex, France.

出版信息

J Cancer Epidemiol. 2012;2012:298369. doi: 10.1155/2012/298369. Epub 2012 Jun 26.

Abstract

Background. The aim of the study was to assess the accuracy of the colorectal-cancer incidence estimated from administrative data. Methods. We selected potential incident colorectal-cancer cases in 2004-2005 French administrative data, using two alternative algorithms. The first was based only on diagnostic and procedure codes, whereas the second considered the past history of the patient. Results of both methods were assessed against two corresponding local cancer registries, acting as "gold standards." We then constructed a multivariable regression model to estimate the corrected total number of incident colorectal-cancer cases from the whole national administrative database. Results. The first algorithm provided an estimated local incidence very close to that given by the regional registries (646 versus 645 incident cases) and had good sensitivity and positive predictive values (about 75% for both). The second algorithm overestimated the incidence by about 50% and had a poor positive predictive value of about 60%. The estimation of national incidence obtained by the first algorithm differed from that observed in 14 registries by only 2.34%. Conclusion. This study shows the usefulness of administrative databases for countries with no national cancer registry and suggests a method for correcting the estimates provided by these data.

摘要

背景。本研究的目的是评估根据行政数据估算的结直肠癌发病率的准确性。方法。我们在2004 - 2005年法国行政数据中使用两种替代算法选择潜在的结直肠癌新发病例。第一种仅基于诊断和手术编码,而第二种考虑了患者的既往病史。两种方法的结果均与两个相应的当地癌症登记处进行对照评估,这两个登记处作为“金标准”。然后我们构建了一个多变量回归模型,以从整个国家行政数据库中估算结直肠癌新发病例的校正总数。结果。第一种算法得出的当地发病率估计值与区域登记处给出的非常接近(分别为646例和645例新发病例),并且具有良好的敏感性和阳性预测值(两者均约为75%)。第二种算法将发病率高估了约50%,并且阳性预测值较差,约为60%。通过第一种算法获得的国家发病率估计值与在14个登记处观察到的值仅相差2.34%。结论。本研究表明行政数据库对没有国家癌症登记处的国家有用,并提出了一种校正这些数据提供的估计值的方法。

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